Home Uncategorized Twitter admits bias in algorithm for rightwing politicians and news outlets

Twitter admits bias in algorithm for rightwing politicians and news outlets


Twitter admits bias in algorithm for rightwing politicians and news outlets


Twitter admits bias in algorithm for rightwing politicians and news outlets

Home feed promotes rightwing tweets over those from the left, internal research finds

Twitter icon on screen.

Twitter said it wasn’t clear why its Home timeline produced these results and indicated that it may now need to change its algorithm. A blog post by Rumman Chowdhury, Twitter’s director of software engineering, and Luca Belli, a Twitter researcher, said the findings could be “problematic” and that more study needed to be done. The post acknowledged that it was concerning if certain tweets received preferential treatment as a result of the way in which users interacted with the algorithm tailoring their timeline.

“Algorithmic amplification is problematic if there is preferential treatment as a function of how the algorithm is constructed versus the interactions people have with it. Further root cause analysis is required in order to determine what, if any, changes are required to reduce adverse impacts by our Home timeline algorithm,” the post said.

Twitter said it would make its research available to outsiders such as academics and is preparing to let third parties have wider access to its data, in a move likely to put further pressure on Facebook to do the same. Facebook is being urged by politicians on both sides of the Atlantic to distribute its research to third parties after tens of thousands of internal documents, which included revelations that the company knew its Instagram app damaged teenage mental health, were leaked by the whistleblower Frances Haugen.

The Twitter study compared the two ways in which a user can view their timeline: the first uses an algorithm to provide a tailored view of tweets that the user might be interested in based on the accounts they interact with most and other factors; the other is the more traditional timeline in which the user reads the most recent posts in reverse chronological order.

The study compared the two types of timeline by considering whether some politicians, political parties or news outlets were more amplified than others. The study analysed millions of tweets from elected officials between 1 April and 15 August 2020 and hundreds of millions of tweets from news organisations, largely in the US, over the same period.

Twitter said it would make its research available to third parties but said privacy concerns prevented it from making available the “raw data”. The post said: “We are making aggregated datasets available for third party researchers who wish to reproduce our main findings and validate our methodology, upon request.”

Twitter added that it was preparing to make internal data available to external sources on a regular basis. The company said its machine-learning ethics, transparency and accountability team was finalising plans in a way that would protect user privacy.

“This approach is new and hasn’t been used at this scale, but we are optimistic that it will address the privacy-vs-accountability tradeoffs that can hinder algorithmic transparency,” said Twitter. “We’re excited about the opportunities this work may unlock for future collaboration with external researchers looking to reproduce, validate and extend our internal research.”


  • Twitter
  • Social media
  • Digital media
  • US politics
  • news
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Published at Fri, 22 Oct 2021 12:04:37 +0000


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